skip to main content
editorial
Free Access

ACM TIST Special Issue on Data-Driven Intelligence for Wireless Networking

Published:29 September 2017Publication History

Abstract

No abstract available.

Index Terms

  1. ACM TIST Special Issue on Data-Driven Intelligence for Wireless Networking
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image ACM Transactions on Intelligent Systems and Technology
        ACM Transactions on Intelligent Systems and Technology  Volume 9, Issue 1
        Regular Papers and Special Issue: Data-driven Intelligence for Wireless Networking
        January 2018
        258 pages
        ISSN:2157-6904
        EISSN:2157-6912
        DOI:10.1145/3134224
        • Editor:
        • Yu Zheng
        Issue’s Table of Contents

        Copyright © 2017 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 29 September 2017
        Published in tist Volume 9, Issue 1

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • editorial
        • Opinion
        • Refereed limited

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader